我们从Python开源项目中，提取了以下6个代码示例，用于说明如何使用cv2.createFisherFaceRecognizer()。
def train(self): """ Entraînement du jeu de données Méthode à surcharger """ logging.info("Entraînement du trainset...") #self.model = cv2.createFisherFaceRecognizer() #self.model = cv2.createEigenFaceRecognizer() self.model = cv2.createLBPHFaceRecognizer() #self.model = cv2.createLBPHFaceRecognizer(radius = 1, grid_x = 6, grid_y = 6) self.model.train(numpy.asarray(self.trainset_images), numpy.asarray(self.trainset_index))
def model(algorithm, thresh): # set the choosen algorithm model = None if is_cv3(): # OpenCV version renamed the face module if algorithm == 1: model = cv2.face.createLBPHFaceRecognizer(threshold=thresh) elif algorithm == 2: model = cv2.face.createFisherFaceRecognizer(threshold=thresh) elif algorithm == 3: model = cv2.face.createEigenFaceRecognizer(threshold=thresh) else: print("WARNING: face algorithm must be in the range 1-3") os._exit(1) else: if algorithm == 1: model = cv2.createLBPHFaceRecognizer(threshold=thresh) elif algorithm == 2: model = cv2.createFisherFaceRecognizer(threshold=thresh) elif algorithm == 3: model = cv2.createEigenFaceRecognizer(threshold=thresh) else: print("WARNING: face algorithm must be in the range 1-3") os._exit(1) return model
def __init__(self): self.node_name = "face_recog_fisher" rospy.init_node(self.node_name) rospy.on_shutdown(self.cleanup) self.bridge = CvBridge() self.face_names = StringArray() self.all_names = StringArray() self.size = 4 face_haar = 'haarcascade_frontalface_default.xml' self.haar_cascade = cv2.CascadeClassifier(face_haar) self.face_dir = 'face_data_fisher' self.model = cv2.createFisherFaceRecognizer() # self.model = cv2.createEigenFaceRecognizer() (self.im_width, self.im_height) = (112, 92) rospy.loginfo("Loading data...") # self.fisher_train_data() self.load_trained_data() rospy.sleep(3) # self.img_sub = rospy.Subscriber("/asus/rgb/image_raw", Image, self.img_callback) self.img_sub = rospy.Subscriber("/usb_cam/image_raw", Image, self.img_callback) # self.img_pub = rospy.Publisher('face_img', Image, queue_size=10) self.name_pub = rospy.Publisher('face_names', StringArray, queue_size=10) self.all_names_pub = rospy.Publisher('all_face_names', StringArray, queue_size=10) rospy.loginfo("Detecting faces...")
def __init__(self): self.node_name = "train_faces_eigen" rospy.init_node(self.node_name) rospy.on_shutdown(self.cleanup) self.bridge = CvBridge() self.size = 4 face_haar = 'haarcascade_frontalface_default.xml' self.haar_cascade = cv2.CascadeClassifier(face_haar) self.face_dir = 'face_data_eigen' self.face_name = sys.argv[1] self.path = os.path.join(self.face_dir, self.face_name) # self.model = cv2.createFisherFaceRecognizer() self.model = cv2.createEigenFaceRecognizer() self.cp_rate = 5 if not os.path.isdir(self.path): os.mkdir(self.path) self.count = 0 self.train_img_sub = rospy.Subscriber("/usb_cam/image_raw", Image, self.img_callback) # self.train_img_pub = rospy.Publisher('train_face', Image, queue_size=10) rospy.loginfo("Capturing data...")
def __init__(self): self.node_name = "train_faces_fisher" rospy.init_node(self.node_name) rospy.on_shutdown(self.cleanup) self.bridge = CvBridge() self.size = 4 face_haar = 'haarcascade_frontalface_default.xml' self.haar_cascade = cv2.CascadeClassifier(face_haar) self.face_dir = 'face_data_fisher' self.face_name = sys.argv[1] self.path = os.path.join(self.face_dir, self.face_name) self.model = cv2.createFisherFaceRecognizer() # self.model = cv2.createEigenFaceRecognizer() self.cp_rate = 5 if not os.path.isdir(self.path): os.mkdir(self.path) self.count = 0 self.train_img_sub = rospy.Subscriber("/usb_cam/image_raw", Image, self.img_callback) # self.train_img_pub = rospy.Publisher('train_face', Image, queue_size=10) rospy.loginfo("Capturing data...")
def __init__(self): self.node_name = "face_recog_eigen" rospy.init_node(self.node_name) rospy.on_shutdown(self.cleanup) self.bridge = CvBridge() self.face_names = StringArray() self.size = 4 face_haar = 'haarcascade_frontalface_default.xml' self.haar_cascade = cv2.CascadeClassifier(face_haar) self.face_dir = 'face_data_eigen' # self.model = cv2.createFisherFaceRecognizer() self.model = cv2.createEigenFaceRecognizer() (self.im_width, self.im_height) = (112, 92) rospy.loginfo("Loading data...") # self.fisher_train_data() self.load_trained_data() rospy.sleep(3) # self.img_sub = rospy.Subscriber("/asus/rgb/image_raw", Image, self.img_callback) self.img_sub = rospy.Subscriber("/usb_cam/image_raw", Image, self.img_callback) # self.img_pub = rospy.Publisher('face_img', Image, queue_size=10) self.name_pub = rospy.Publisher('face_names', StringArray, queue_size=10) self.all_names_pub = rospy.Publisher('all_face_names', StringArray, queue_size=10) rospy.loginfo("Detecting faces...")
